Thursday, 11 May 2017

Be ready for the Dockerized future, where nearly all software is developed and deployed in containers. Welcome to the most complete and up-to-date course for learning and using Docker end-to-end, from development and testing, to deployment and production. Taught by a Docker Captain and consultant.

Just starting out with Docker? Perfect. This course starts out assuming you're new to containers.

Or: Using Docker now and need to deal with real-world problems? I'm here for you! See my production topics around Swarm, secrets, logging, blue/green, and more.

Why should you learn from me? Why trust me to teach you the best ways to use Docker? (Hi, I'm Bret, please allow me to talk about myself for a sec):

I'm A Practitioner. Welcome to the real world: I've got 20 years of sysadmin and DevOps experience, over 30 certifications, and have been using Docker and the container ecosystem for my consulting clients and my own companies since Docker's early days. Learn from someone who's run hundreds of containers across dozens of projects and organizations, and lived to tell the tale.

I'm An Educator. Learn from someone who knows how to make a syllabus: I want to help you. People say I'm good at it. For the last few years I've trained hundreds of people on using Docker in workshops, conferences, meetups, and one-on-one. See me teach at events like DockerCon, O'Reilly Velocity, Revolution, and Strange Loop. I hope you'll decide to learn with me, and join the fantastic online Docker community.

I Lead Communities. Also, I'm a Docker Captain, meaning that Docker Inc. thinks I know a thing or two about Docker and that I do well in sharing it with others. In the real-world: I help run two local meetups in our fabulous tech community in Norfolk/Virginia Beach, USA on Docker and Code for America. I help online: usually in Slack, Gitter, Twitter, and IRC for Docker and other DevOps topics, where I learn from and help others.

"There are a lot of Docker courses on Udemy -- but ignore those, Bret is the single most qualified person to teach you." - Kevin Griffin

Giving Back: 3% of my profit on this course will be donated to supporting open source and protecting our freedoms online! This course is only made possible by the amazing people creating open source. I'm standing on the shoulders of (open source) giants! Donations will be split between the Electronic Frontier Foundation and Free Software Foundation. Look them up. They're awesome!

This is a living course, and will be updated as Docker features and workflows change.

This course is designed to be fast at getting you started but also get you deep into the "why" of things. Simply the fastest and best way to learn the latest docker skills. Look at the scope of topics in the Session and see the breadth of skills you will learn.

Also included is a private Slack Chat group for getting help with this course and continuing your Docker and DevOps learning with help from myself and other students.

"Bret's course is a level above all of those resources, and if you're struggling to get a handle on Docker, this is the resource you need to invest in." - Austin Tindle

Some of the many cool things you'll do in this course:

Edit web code on your machine while it's served up in a container

Lock down your apps in private networks that only expose necessary ports

Create a 3-node Swarm cluster in the cloud

Use Virtual IP's for built-in load balancing in your cluster

Optimize your Dockerfiles for faster building and tiny deploys

Build/Publish your own custom images based on GitHub commits

Create your own image registry

Use Swarm Secrets to encrypt your environment configs, even on disk

Deploy container updates in a blue/green deployment design

Create the config utopia of a single YAML file for local dev, CI testing, and prod cluster deploys

And so much more...

After taking this course, you'll be able to:

Use Docker in your daily developer and/or sysadmin roles

Make Dockerfiles and Compose files

Build multi-node Swarm clusters and deploying H/A containers

Build a workflow of using Docker in dev, then test/CI, then production with yaml